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- # -*- coding: utf-8 -*-
- import pytest
- from pandas._libs.tslibs.frequencies import get_freq
- from pandas._libs.tslibs.period import period_asfreq, period_ordinal
- @pytest.mark.parametrize("freq1,freq2,expected", [
- ("D", "H", 24),
- ("D", "T", 1440),
- ("D", "S", 86400),
- ("D", "L", 86400000),
- ("D", "U", 86400000000),
- ("D", "N", 86400000000000),
- ("H", "T", 60),
- ("H", "S", 3600),
- ("H", "L", 3600000),
- ("H", "U", 3600000000),
- ("H", "N", 3600000000000),
- ("T", "S", 60),
- ("T", "L", 60000),
- ("T", "U", 60000000),
- ("T", "N", 60000000000),
- ("S", "L", 1000),
- ("S", "U", 1000000),
- ("S", "N", 1000000000),
- ("L", "U", 1000),
- ("L", "N", 1000000),
- ("U", "N", 1000)
- ])
- def test_intra_day_conversion_factors(freq1, freq2, expected):
- assert period_asfreq(1, get_freq(freq1),
- get_freq(freq2), False) == expected
- @pytest.mark.parametrize("freq,expected", [
- ("A", 0),
- ("M", 0),
- ("W", 1),
- ("D", 0),
- ("B", 0)
- ])
- def test_period_ordinal_start_values(freq, expected):
- # information for Jan. 1, 1970.
- assert period_ordinal(1970, 1, 1, 0, 0, 0,
- 0, 0, get_freq(freq)) == expected
- @pytest.mark.parametrize("dt,expected", [
- ((1970, 1, 4, 0, 0, 0, 0, 0), 1),
- ((1970, 1, 5, 0, 0, 0, 0, 0), 2),
- ((2013, 10, 6, 0, 0, 0, 0, 0), 2284),
- ((2013, 10, 7, 0, 0, 0, 0, 0), 2285)
- ])
- def test_period_ordinal_week(dt, expected):
- args = dt + (get_freq("W"),)
- assert period_ordinal(*args) == expected
- @pytest.mark.parametrize("day,expected", [
- # Thursday (Oct. 3, 2013).
- (3, 11415),
- # Friday (Oct. 4, 2013).
- (4, 11416),
- # Saturday (Oct. 5, 2013).
- (5, 11417),
- # Sunday (Oct. 6, 2013).
- (6, 11417),
- # Monday (Oct. 7, 2013).
- (7, 11417),
- # Tuesday (Oct. 8, 2013).
- (8, 11418)
- ])
- def test_period_ordinal_business_day(day, expected):
- args = (2013, 10, day, 0, 0, 0, 0, 0, get_freq("B"))
- assert period_ordinal(*args) == expected
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